We are proud to announce the latest addition to the SIPPRE Lab’s suite of equipment: the EmotiBit sensor. This wearable device provides a powerful platform for real-time physiological data acquisition, enabling researchers and students to explore a wide range of applications in emotion and health monitoring.
The EmotiBit sensor will be used in several innovative projects, including:
- Emotion Monitoring During Media Interaction: Capturing physiological responses such as heart rate, skin conductance, and temperature while participants engage with music, videos, or other media to study emotional dynamics.
- Stress and Relaxation Studies: Investigating physiological markers of stress and relaxation, and designing interventions to improve well-being.
- Human-Computer Interaction (HCI): Using real-time emotional data to enhance the adaptiveness and usability of systems by responding to the user’s emotional state.
- Computer Gaming Research: Examining player engagement, stress, and emotional responses during gaming sessions to inform game design, improve user experiences, and even develop biofeedback-based gaming.
- Educational Research: Assessing cognitive and emotional responses during learning activities to optimize teaching methods and materials.
- Multi-Signal Integration Projects: Combining EmotiBit data with EEG signals for advanced studies in brain-body interactions, such as exploring how physiological changes correlate with neural activity.
The EmotiBit sensor will also serve as a valuable tool for final diploma thesis projects, enabling students to gain hands-on experience with wearable technologies, physiological signal processing, and machine learning.
Stay tuned for updates on the exciting research that will emerge from the integration of EmotiBit into our lab’s activities!